Github user jkbradley commented on a diff in the pull request: https://github.com/apache/spark/pull/15428#discussion_r83911537 --- Diff: mllib/src/test/scala/org/apache/spark/ml/feature/QuantileDiscretizerSuite.scala --- @@ -83,10 +83,20 @@ class QuantileDiscretizerSuite .setOutputCol("result") .setNumBuckets(numBuckets) - // Reserve extra one bucket for NaN - val expectedNumBuckets = discretizer.fit(df).getSplits.length - 1 - val result = discretizer.fit(df).transform(df) - val observedNumBuckets = result.select("result").distinct.count + // Reserve extra one bucket for NaN values + discretizer.setHandleInvalid("keep") + var expectedNumBuckets = discretizer.fit(df).getSplits.length - 1 --- End diff -- I'd also recommend directly testing the values of the splits. The current test makes sure that handleInvalid is passed to the bucketizer correctly, which is important but separate. Also, please use vals (not vars) for clarity. I'd recommend making a helper method for lines 87-93, which can be reused for the test of handleInvalid = "skip"
--- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org